About Marzuk
I have over 10 years of experience on machine learning /deep learning. Some of the areas I have used machine learning are natural language processing/understanding (NLP/NLU), image analysis, time series analysis, unsupervised learning, predictive modelling etc. I am leading our current company AeonX AI, which specialises in online and offline virtual assistant/chatbot and natural language processing technologies, chatbot design platform. At AeonX, I have designed a proprietary NLP engine that is highly customisable and works both online and offline on mobile devices.
English
Native or bilingual
French
Conversational
Remote only
Primarily works remotely
Experience
- AeonX AIFounder and Chief Data ScientistTECHJuly 2017 - Today (8 years and 10 months)Paris, FranceAt AeonX, we are highly focused in Natural Language Processing, Chatbot technology development as well as integration of chatbots to enterprise backend such as Dynamics 365, Azure/AWS components. Our focus is to reduce repetitive tasks in Facility Management, Resource scheduling, FAQ response using smart virtual assistants.Our activities include- Technology development around multi-language Natural Language Processing (AeonX NLP Engine).- Using AeonX NLP Engine, End-to-End development of Chatbots for enterprises.- Tools for chatbot user interface such as Email, Messenger, Telephone- Provide chatbot management backoffice- React and React Native based Application development to support the chatbot engine
- InfinetCEO, FounderTECHFebruary 2016 - Today (10 years and 4 months)Paris, FranceApplication of Deep Learning for:
- Classification of various breast cancer types from histological images.
- Diagnosis of various stages of diabetic retinopathy from ophthalmoscopic images using deep learning methods.
- Diagnosis and volume of Brain MRI images using deep neural network (CNN, FCN etc)
---- Inverse image search using deep learning model and Elsaticsearch
- Analysis of unstructured medical data using various NLP methods.
- Archimej TechnologyChef de ProjetTECHSeptember 2014 - January 2016 (1 year and 5 months)Saclay, France
- Data analysis using theoretical modeling and machine learning tools
- Simulation of heat distribution on electric circuits
- Programming microcontrollers (PIC32, Arduino, AVR)
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Education
- PhD, Computational PhysicsMax Planck Institute, Dresden, Germany2009* Monte Carlo simulation of cell membrane and membrane protein interaction * Analysis of microscope images using machine learning methods such as SVM and RF * Spectroscopic data analysis using machine learning and statistical methods (SVM, RF, LR, PCA/ICA etc)